scholarly journals Web-Based Research in Psychology

2021 ◽  
Vol 229 (4) ◽  
pp. 198-213
Author(s):  
Ulf-Dietrich Reips

Abstract. The present article reviews web-based research in psychology. It captures principles, learnings, and trends in several types of web-based research that show similar developments related to web technology and its major shifts (e.g., appearance of search engines, browser wars, deep web, commercialization, web services, HTML5…) as well as distinct challenges. The types of web-based research discussed are web surveys and questionnaire research, web-based tests, web experiments, Mobile Experience Sampling, and non-reactive web research, including big data. A number of web-based methods are presented and discussed that turned out to become important in research methodology. These are one-item-one-screen design, seriousness check, instruction manipulation and other attention checks, multiple site entry technique, subsampling technique, warm-up technique, and web-based measurement. Pitfalls and best practices are described then, especially regarding dropout and other non-response, recruitment of participants, and interaction between technology and psychological factors. The review concludes with a discussion of important concepts that have developed over 25 years and an outlook on future developments in web-based research.

2021 ◽  
Author(s):  
Kathryn Cowie ◽  
Asad Rahmatullah ◽  
Nicole Hardy ◽  
Karl Holub ◽  
Kevin Kallmes

BACKGROUND Systematic reviews (SRs) are central to evaluating therapies but have high costs in terms of both time and money. Many software tools exist to assist with SRs, but most tools do not support the full process, and transparency and replicability of SR depends on performing and presenting evidence according to established best practices. OBJECTIVE In order to provide a basis for comparing and selecting between software tools that support SR, we performed a feature-by-feature comparison of SR tools. METHODS We searched for SR tools by reviewing any such tool listed the Systematic Review Toolbox, previous reviews of SR tools, and qualitative Google searching. We included all SR tools that were currently functional, and require no coding and excluded reference managers, desktop applications, and statistical software. The list of features to assess was populated by combining all features assessed in four previous reviews of SR tools; we also added five features (Manual Addition, Screening Automation, Dual Extraction, Living review, Public outputs) that were independently noted as best practices or enhancements of transparency/replicability. Then, two reviewers assigned binary “present/absent” assessments to all SR tools with respect to all features, and a third reviewer adjudicated all disagreements. RESULTS Of 49 SR tools found, 27 were excluded, leaving 22 for assessment. Twenty-eight features were assessed across 6 classes, and the inter-observer agreement was 86.46%. DistillerSR, EPPI-Reviewer Web, and Nested Knowledge support the most features (24/28, 86%), followed by Covidence, SRDB.PRO, SysRev (20/28, 71%). Six tools support fewer than half of all features assessed: SyRF, Data Abstraction Assistant, SWIFT-review, SR-Accelerator, RobotReviewer, and COVID-NMA. Notably, only 9 of 22 tools (41%) support direct search, only four (18%) offer dual extraction, and only 9 (41%) offer living/updatable reviews. CONCLUSIONS DistillerSR, EPPI-Reviewer Web, and Nested Knowledge each offer a high density of SR-focused web-based tools. By transparent comparison and discussion regarding SR tool functionality, the medical community can both choose among existing software offerings and note the areas of growth needed, most notably in the support of living reviews.


2021 ◽  
Author(s):  
Abigail S. L. Lewis ◽  
Whitney M. Woelmer ◽  
Heather L. Wander ◽  
Dexter W. Howard ◽  
John W. Smith ◽  
...  

Near-term iterative forecasting is a powerful tool for ecological decision support and has the potential to transform our understanding of ecological predictability. However, to this point, there has been no cross-ecosystem analysis of near-term ecological forecasts, making it difficult to synthesize diverse research efforts and prioritize future developments for this emerging field. In this study, we analyzed 178 near-term ecological forecasting papers to understand the development and current state of near-term ecological forecasting literature and compare forecast skill across ecosystems and variables. Our results indicate that near-term ecological forecasting is widespread and growing: forecasts have been produced for sites on all seven continents and the rate of forecast publication is increasing over time. As forecast production has accelerated, a number of best practices have been proposed and application of these best practices is increasing. In particular, data publication, forecast archiving, and workflow automation have all increased significantly over time. However, adoption of proposed best practices remains low overall: for example, despite the fact that uncertainty is often cited as an essential component of an ecological forecast, only 45% of papers included uncertainty in their forecast outputs. As the use of these proposed best practices increases, near-term ecological forecasting has the potential to make significant contributions to our understanding of predictability across scales and variables. In this study, we found that forecast skill decreased in predictable patterns over 1–7 day forecast horizons. Variables that were closely related (i.e., chlorophyll and phytoplankton) displayed very similar trends in predictability, while more distantly related variables (i.e., pollen and evapotranspiration) exhibited significantly different patterns. Increasing use of proposed best practices in ecological forecasting will allow us to examine the forecastability of additional variables and timescales in the future, providing a robust analysis of the fundamental predictability of ecological variables.


COVID ◽  
2021 ◽  
Vol 1 (3) ◽  
pp. 645-665
Author(s):  
Olubukola Adenubi ◽  
Oluwawemimo Adebowale ◽  
Hezekiah Adesokan ◽  
Abimbola Oloye ◽  
Noah Bankole ◽  
...  

This study evaluated the knowledge, attitude and perception (KAP) towards COVID-19 pandemic control among veterinarians in Nigeria. A nation-wide web-based cross-sectional survey was conducted. Information on KAP towards the COVID-19 pandemic was gathered (April 23 and May 31, 2020) and multivariate logistic regression was performed to identify associated factors. A total of 368 veterinarians participated in the study. The majority of respondents were males (72.8%), between the ages of 30–39 years (39.7%). Generally, respondents displayed a good level of knowledge about COVID-19 (72.4% ± 9.9%, range 44.1–91.2%), while the general attitude level was poor (65.4% ± 10.8, range 35.3–94.1%). Various determinants for good attitude among respondents were: if they were above 60 years old (aOR = 4.49, 95% CI: 1.379–14.594, p = 0.013), possessed postgraduate qualification (aOR = 1.63, 95 CI: 1.045–2.553, p = 0.031), worked over 30 years post DVM (aOR = 5.63, 95% CI: 1.966–16.100, p = 0.001), had household members between five and 10 (aOR = 1.73, 95% CI: 1.130–2.641, p = 0.012), and if respondents’ residence was on total lockdown (aOR = 1.66, 95% CI: 1.070–2.590, p = 0.024). The pandemic had moderate impacts on social, financial and physical status of the participants. Stricter policy measures and educational programs should be implemented to keep veterinarians and the populace informed about the best practices recommended for COVID-19 management.


Author(s):  
Peter J. Allen ◽  
Lynne D. Roberts

The increasing level of Internet penetration over the last decade has made web surveying a viable option for data collection in academic research. Software tools and services have been developed to facilitate the development and deployment of web surveys. Many academics and research students are outsourcing the design and/or hosting of their web surveys to external service providers, yet ethical issues associated with this use have received limited attention in academic literature. In this article, the authors focus on specific ethical concerns associated with the outsourcing of web surveys with particular reference to external commercial web survey service providers. These include threats to confidentiality and anonymity, the potential for loss of control over decisions about research data, and the reduced credibility of research. Suggested guidelines for academic institutions and researchers in relation to outsourcing aspects of web-based survey research are provided.


2018 ◽  
pp. 194-213
Author(s):  
Sonja Leskinen

The goal of this paper is to introduce and understand the equine veterinarians' needs in their daily routines and develop a web-based support system to promote their work. An equine veterinarian works in both clinic and stable environments, which requires resilience and smart functionality from the support system's interfaces. Especially when horse treatment is in the stable environment, a mobile interface is required. The development of the system must also take into account the needs of the other stakeholders around horses. This paper introduces the requirements to develop a mobile interface for the web-based support system, m-equine. The trial of m-equine will start with an influenza vaccination protocol that is used by veterinarians, horse owners and riders as well as competition organizers. In conclusion the future developments and added values of the system are introduced.


2011 ◽  
pp. 3173-3178
Author(s):  
Marc Holzer ◽  
Tony Carrizales ◽  
Younhee Kim

The opportunities that arise from the practice of digital government continue to increase. Public managers responsible for adopting and implementing such new practices will be searching for existing best practices to incorporate into their respective communities. They may choose to rely on their information and communication technology (ICT) departments to develop necessary digital government applications, but an appealing option for public managers is to familiarize themselves with the most recent digital government applications through Web-based courses. Online education eliminates distances, allows for flexible scheduling and can incorporate current best practices of electronic-government on a timely basis. Public managers play a critical role in the development of digital government initiatives (Halachmi, 2004; Heeks, 1999; Ho, 2002; Melitski, 2003; Weare, Musso & Hale, 1999). Although public managers can refer to numerous individuals within government municipalities, in the case of digital government, the chief administrative officer (CAO) is often the key individual in deciding the direction of government initiatives. By completing Web-based courses, CAOs can assess and strategically plan for effective and efficient digital government in their communities. Melitski (2003) argues that there is a need for public mangers that are “familiar with both IT and the programmatic goals and missions of public organizations” (p. 389). With respect to implementing digital citizen participation in government, Holzer, Melitski, Rho, and Schwester (2004) state, as their primary recommendation, “governments should work harder to identify, study, and implement best practices” (p. 28). The means to study such best practices, however, have generally been scarce, and the literature has been limited to specialized e-government reports and articles. But Web-based courses now offer the means for a CAO or any other public manager to study digital government practices and theories in a more effective and convenient manner.


Author(s):  
Yih-Ruey Juang

Much research has shown that the blended learning can effectively enhance the motivation, communication skills, and learning achievement compared with teaching in a single form. However, a crucial issue in blended learning is how to integrate each blended format, media and experience into a coherent learning model, and then to keep interaction between teacher and students either in or outside the classroom. This study introduces a highly interactive strategy for blended learning that incorporates web-based and face-to-face learning environments into a semester course through answering the warm-up questions before class, interactive teaching in class, and review and exercise after class. By the empirical study in a ‘Data Structure’ class, most students made progress in learning achievement and gain more motivation and interaction within the class.


2013 ◽  
Vol 2 (1) ◽  
pp. 11-25 ◽  
Author(s):  
Elizabeth Sternke ◽  
Nicholas Burrus ◽  
Virginia Daggett ◽  
Laurie Plue ◽  
Katherine Carlson ◽  
...  

Despite many advances in stroke care treatment, there is substantial room for improvement in quality of care for stroke patients. In an attempt to disseminate up-to-date quality information and evidence-based best practices of stroke care, the Veterans Health Administration (VHA)and the VHA Stroke QUERI implemented an innovative web-based toolkit tailored for providers and program planners interested in improving stroke care quality. This study evaluated the VA Stroke QUERI Toolkit to determine its most useful aspects and those that require improvement. In-depth qualitative interviews (n = 48) were conducted with a geographically dispersed sample of clinicians and program planners throughout the VHA system. Findings suggest the Stroke QUERI toolkit was perceived as an effective, efficient and user-friendly site but knowledge of the toolkit continues to be initiated and shared mainly through individuals and small groups. To achieve greater impact a comprehensive set of strategies designed to encourage broader uptake is required.


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